A facial recognition system needs to save the biometric information during enrollment in order to identify the user during login, the problem is that the biometric information is sensitive and problematic information to maintain in terms of privacy regulations such as GDPR and CCPA Our uniqueness is that we turn the biometric information into a hash value, so that on the one hand it is emptied of biometric content and on the other hand it still allows validation in the system.
A hash function is a one-way operation algorithm that converts a given input of any size to a unique output of a fixed length of bits. one-way operation algorithm – Means there is no way to go back and get the original value. This is why systems that store validation data such as passwords usually turn this information into hash, because in this way there is no way to recover the password. However, when you try to turn the biometric information into hash, you encounter a problem because the biometric information even for the same user will always be a little different And any little change in the given input will generate a completely different hash value. Our hash algorithm can also handle this type of information, and turn it into hash (unreproducible, but good for validation)
The target audience is diverse, our solutions can be used for office access control systems, as well as providing protection and privacy layers for countries' biometric databases. Another solution we developed is in the field of digital signatures, with our solution it is possible to create a digital signature on documents from the user's face, in a secure way that preserves the users' privacy. It should be noted that the size of the digital signature market is estimated at 6 billion dollars, and should grow to about 26 billion dollars by 2027.
